Energy Minimization Methods in Computer Vision and Pattern Recognition 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005. Proceedings /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Rangarajan, Anand (Επιμελητής έκδοσης), Vemuri, Baba (Επιμελητής έκδοσης), Yuille, Alan L. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3757
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Energy Minimization Methods in Computer Vision and Pattern Recognition  |h [electronic resource] :  |b 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005. Proceedings /  |c edited by Anand Rangarajan, Baba Vemuri, Alan L. Yuille. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2005. 
300 |a XII, 666 p.  |b online resource. 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 3757 
505 0 |a Probabilistic and Informational Approaches -- Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application -- A Computational Approach to Fisher Information Geometry with Applications to Image Analysis -- Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering -- Concurrent Stereo Matching: An Image Noise-Driven Model -- Color Correction of Underwater Images for Aquatic Robot Inspection -- Bayesian Image Segmentation Using Gaussian Field Priors -- Handling Missing Data in the Computation of 3D Affine Transformations -- Maximum-Likelihood Estimation of Biological Growth Variables -- Deformable-Model Based Textured Object Segmentation -- Total Variation Minimization and a Class of Binary MRF Models -- Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study -- Combinatorial Approaches -- Probabilistic Subgraph Matching Based on Convex Relaxation -- Relaxation of Hard Classification Targets for LSE Minimization -- Linear Programming Matching and Appearance-Adaptive Object Tracking -- Extraction of Layers of Similar Motion Through Combinatorial Techniques -- Object Categorization by Compositional Graphical Models -- Learning Hierarchical Shape Models from Examples -- Discontinuity Preserving Phase Unwrapping Using Graph Cuts -- Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra -- Spatio-temporal Segmentation Using Dominant Sets -- Stable Bounded Canonical Sets and Image Matching -- Coined Quantum Walks Lift the Cospectrality of Graphs and Trees -- Variational Approaches -- Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme -- Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes -- An Adaptive Variational Model for Image Decomposition -- Segmentation Informed by Manifold Learning -- One-Shot Integral Invariant Shape Priors for Variational Segmentation -- Dynamic Shape and Appearance Modeling Via Moving and Deforming Layers -- Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach -- Constrained Total Variation Minimization and Application in Computerized Tomography -- Some New Results on Non-rigid Correspondence and Classification of Curves -- Edge Strength Functions as Shape Priors in Image Segmentation -- Spatio-temporal Prior Shape Constraint for Level Set Segmentation -- A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images -- Other Approaches and Applications -- Increasing Efficiency of SVM by Adaptively Penalizing Outliers -- Locally Linear Isometric Parameterization -- A Constrained Hybrid Optimization Algorithm for Morphable Appearance Models -- Kernel Methods for Nonlinear Discriminative Data Analysis -- Reverse-Convex Programming for Sparse Image Codes -- Stereo for Slanted Surfaces: First Order Disparities and Normal Consistency -- Brain Image Analysis Using Spherical Splines -- High-Order Differential Geometry of Curves for Multiview Reconstruction and Matching. 
650 0 |a Computer science. 
650 0 |a Computers. 
650 0 |a Algorithms. 
650 0 |a Artificial intelligence. 
650 0 |a Computer graphics. 
650 0 |a Image processing. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computer Graphics. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Computation by Abstract Devices. 
700 1 |a Rangarajan, Anand.  |e editor. 
700 1 |a Vemuri, Baba.  |e editor. 
700 1 |a Yuille, Alan L.  |e editor. 
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830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 3757 
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950 |a Computer Science (Springer-11645)